Professor Cecilia Lindgren
Research groups
Colleges
Inaugural Lecture
Watch Cecilia's inaugural lecture "Time Flies: Spending two decades dissecting the aetiology of common complex metabolic traits" on BDI TV.
Cecilia Lindgren
MSc, PhD
Director, Big Data Institute
- Professor of Genomic Endocrinology & Metabolism, Nuffield Department of Population Health
- Research Fellow, St Anne's College
Obesity and its consequences are major and growing challenges for health care worldwide. Recently, the first common variants have been identified which influence overall levels of adiposity and predispose to obesity at the population level: these findings should lead to improved understanding of the mechanisms involved in the regulation of overall energy balance. However, not all obese individuals are equally vulnerable to diabetes, insulin resistance and the other adverse consequences of obesity, and it has long been appreciated that the distribution of fat (particularly the degree of central or visceral obesity) is an additional and independent determinant of individual risk of metabolic and cardiovascular disease.
Our research seeks to advance understanding of the mechanisms involved in obesity and the regulation of differential central fat accumulation in the belief that an appreciation of these mechanisms will complement advances in understanding of overall energy balance.
By applying a range of genetic and genomic approaches, we expect to identify genetic variants influencing regional fat distribution, and to illuminate some of the biological pathways involved. Our specific objectives are:
- To undertake identification of genetic variants influencing obesity and individual patterns of fat distribution and central obesity through large-scale genome-wide association meta-analysis and fine-mapping;
- To examine the relationships between sequence variation, expression of mRNA, microRNAs and molecular and physiological phenotypes, in human adipose samples, to identify adipose-specific pathways relevant to individual differences in obesity and central fat distribution;
- To follow-up of the key findings from genetic, epidemiological and functional perspectives.
This knowledge should support translational advances in the management of obesity through development of novel diagnostic and therapeutic options
Recent publications
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Modelling the genetic aetiology of complex disease: human-mouse conservation of noncoding features and disease-associated loci.
Journal article
Powell G. et al, (2022), Biol Lett, 18
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Obesity and risk of female reproductive conditions: A Mendelian randomisation study
Journal article
Venkatesh SS. et al, (2022), PLOS Medicine, 19, e1003679 - e1003679
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Response to comment on "Evaluating the cardiovascular safety of sclerostin inhibition using evidence from meta-analysis of clinical trials and human genetics".
Journal article
Bovijn J. et al, (2021), Science translational medicine, 13
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Sex-dimorphic genetic effects and novel loci for fasting glucose and insulin variability
Journal article
Lagou V. et al, (2021), Nature Communications, 12
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Evidence From Men for Ovary-independent Effects of Genetic Risk Factors for Polycystic Ovary Syndrome.
Journal article
Zhu J. et al, (2021), The Journal of clinical endocrinology and metabolism